Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"
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Updated
Jun 2, 2024 - Python
Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"
Automatic download VPR datasets in a standard format
A curated list of Place Recognition methods, datasets, and various algorithms for LiDAR
Code for our IEEE RAL + ICRA 2022 paper "Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments", and our ICRA2023 paper "Ensembles of Compact, Region-specific & Regularized Spiking Neural Networks for Scalable Place Recognition"
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"
Real-time Radar SLAM: ORORA + ScanContext
loader for the generic 4D radar dataset
Delta Descriptors: Visual Localization via Visual Place Recognition (VPR) where places are described using a change-based spatio-temporal representation. (RA-L & IROS 2020)
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.
PatchAugNet: Patch feature augmentation-based heterogeneous point cloud place recognition in large-scale street scenes
Easily download and evaluate pre-trained Visual Place Recognition methods. Code built for the ICCV 2023 paper "EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition"
[ICRA24] TSCM: A Teacher-Student Model for Vision Place Recognition Using Cross-Metric Knowledge Distillation
Official Repository of "Learning Sequential Descriptors for Sequence-based Visual Place Recognition "
Nocturnal Visual Place Recognition via Generative and Inherited Knowledge Transfer
AnyLoc: Universal Visual Place Recognition (RA-L 2023)
[IROS2022] Official repository of InCloud: Incremental Learning for Point Cloud Place Recognition, Published in IROS2022 https://arxiv.org/abs/2203.00807
LiDAR Image Pretraining for Visual Place Recognition
Official code for CVPR 2022 (Oral) paper "Deep Visual Geo-localization Benchmark"
MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
MinkLoc3D: Point Cloud Based Large-Scale Place Recognition
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